NPL

Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization

Summary

Getting Started

Datasets

Dataset	Feature Backbone	Pre-Training	Link
ActivityNet	TSN	Kinetics-400	Google Drive
THUMOS	TSN	Kinetics-400	Google Drive
ActivityNet	I3D	Kinetics-400	Google Drive
THUMOS	I3D	Kinetics-400	Google Drive

Training and Evaluation

Contact

xiakun@stu.xjtu.edu.cn

Citation

If you find this project useful for your research, please use the following BibTeX entry.

@inproceedings{xia2023learning,
  title={Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization},
  author={Xia, Kun and Wang, Le and Zhou, Sanping and Hua, Gang and Tang, Wei},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  year={2023}
}